scholarly journals Artificial Intelligence, DNA Mimicry, and Human Health

2017 ◽  
Vol 23 ◽  
pp. 3923-3924
Author(s):  
George B. Stefano ◽  
Richard M. Kream
Keyword(s):  
Artificial Intelligence ◽  
Human Health ◽  
Dna Mimicry

scholarly journals Looking Forward: Cutting-Edge Technologies and Skills for Pathologists in the Future

2019 ◽  
Vol 47 (8) ◽  
pp. 1082-1087 ◽  
Author(s):  
Kyathanahalli S. Janardhan ◽  
Rebecca Kohnken ◽  
Oliver C. Turner ◽  
Channabasavaiah B. Gurumurthy ◽  
Ramesh C. Kovi
Keyword(s):  
Artificial Intelligence ◽  
Next Generation Sequencing ◽  
Career Development ◽  
Human Health ◽  
Cutting Edge ◽  
Economic Environment ◽  
Basic Skill ◽  
Annual Symposium ◽  
The Future ◽  
Generation Sequencing

Toxicologic pathology is one of the most valuable fields contributing to the advancement of animal and human health. With the ever-changing technological and economic environment, the basic skill set that pathologists are equipped with may require refinement to address the current and future needs. Periodically, pathologists must add relevant, new skills to their toolbox. The Career Development and Outreach Committee of the Society of Toxicologic Pathology (STP) sponsored a career development workshop entitled “Looking Forward: Cutting-edge Technologies and Skills for Pathologists in the Future” in conjunction with the STP 38th Annual Symposium. Experts were chosen to speak on artificial intelligence, clustered regularly interspaced short palindromic repeats technology, microRNAs, and next-generation sequencing. This article provides a summary of the talks presented at the workshop.

scholarly journals What Remains to Be Discovered?

2021 ◽  
Vol 19 (3) ◽  
pp. 37-44
Author(s):  
Pavel Nováček
Keyword(s):  
Artificial Intelligence ◽  
Dark Matter ◽  
Dark Energy ◽  
Human Brain ◽  
Human Health ◽  
21St Century ◽  
Scientific Evidence ◽  
Life After Death ◽  
Potential Contact ◽  
Science And Faith

What major scientific breakthroughs will occur in the rest of the 21st century? We can hardly imagine what discoveries await us in the fields of physics, biology, human health, or artificial intelligence. Every time people think that everything has already been discovered, there occurs another breakthrough. However, it is impossible to predict specifically when and what it will be. Among the most promising challenges on the border between science and our imaginations, is an exploration of our universe, and potential contact with an extra-terrestrial civilisation, better understanding of space, time, matter, and energy (including “dark matter” and “dark energy”) and, of course, the “unthinkable” potential of the human brain. It seems that what may never be discovered is scientific evidence of life after death. This is not found on the border between science and our fantasy (imagination), but on the border between science and faith.

scholarly journals Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Anna Paola Carrieri ◽  
Niina Haiminen ◽  
Sean Maudsley-Barton ◽  
Laura-Jayne Gardiner ◽  
Barry Murphy ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Health ◽  
Smoking Status ◽  
Menopausal Status ◽  
Human Microbiome ◽  
Skin Aging ◽  
Skin Hydration ◽  
Skin Microbiome ◽  
Microbial Composition ◽  
Non Invasive

AbstractAlterations in the human microbiome have been observed in a variety of conditions such as asthma, gingivitis, dermatitis and cancer, and much remains to be learned about the links between the microbiome and human health. The fusion of artificial intelligence with rich microbiome datasets can offer an improved understanding of the microbiome’s role in human health. To gain actionable insights it is essential to consider both the predictive power and the transparency of the models by providing explanations for the predictions. We combine the collection of leg skin microbiome samples from two healthy cohorts of women with the application of an explainable artificial intelligence (EAI) approach that provides accurate predictions of phenotypes with explanations. The explanations are expressed in terms of variations in the relative abundance of key microbes that drive the predictions. We predict skin hydration, subject's age, pre/post-menopausal status and smoking status from the leg skin microbiome. The changes in microbial composition linked to skin hydration can accelerate the development of personalized treatments for healthy skin, while those associated with age may offer insights into the skin aging process. The leg microbiome signatures associated with smoking and menopausal status are consistent with previous findings from oral/respiratory tract microbiomes and vaginal/gut microbiomes respectively. This suggests that easily accessible microbiome samples could be used to investigate health-related phenotypes, offering potential for non-invasive diagnosis and condition monitoring. Our EAI approach sets the stage for new work focused on understanding the complex relationships between microbial communities and phenotypes. Our approach can be applied to predict any condition from microbiome samples and has the potential to accelerate the development of microbiome-based personalized therapeutics and non-invasive diagnostics.

COMPARATIVE ANALYSIS OF THE CLASSIFICATION OF HEALTH STATUS BY ARTIFICIAL INTELLIGENCE METHODS

2021 ◽  
Vol 75 (3) ◽  
pp. 129-137
Author(s):  
G. A. Tyulepberdinova ◽  
◽  
М.Е. Mansurova ◽  
F.R. Gusmanova ◽  
А.А. Nurakhanova ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Health ◽  
Information Search ◽  
Digital Health ◽  
The State ◽  
International Classification ◽  
Classification Model ◽  
International Classification Of Functioning ◽  
Forecast Models

This article considers one of the problems that does not lose its significance for the characteristics of the state of human health. The fact that an application for working with artificial intelligence algorithms using the determinants of the international classification of the functioning of several body functions has not yet been developed indicates the importance of this project to create a digital health profile. In this article, we will study the International Classification of Functioning and artificial intelligence algorithms that allow it to be used. We will consider the work on classifying the obtained data by classes according to the determinants of the international classification of functioning using artificial intelligence algorithms, comparing forecast models and further optimization to create the most suitable classification model. The article presents the study of the main methods of data processing, statistics related to the state of human health from the database under consideration, and a set of machine learning methods, information search methods. It is planned to study the problems and algorithms of data analysis and their application to solve problems of the state of human health.

Lycopene alleviates sulfamethoxazole-induced hepatotoxicity in grass carp (Ctenopharyngodon idellus) via suppression of oxidative stress, inflammation and apoptosis

2020 ◽  
Vol 11 (10) ◽  
pp. 8547-8559
Author(s):  
Hongjing Zhao ◽  
Yu Wang ◽  
Mengyao Mu ◽  
Menghao Guo ◽  
Hongxian Yu ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Secondary Metabolites ◽  
Human Health ◽  
Grass Carp ◽  
Aquatic Environment ◽  
Ctenopharyngodon Idellus

Antibiotics are used worldwide to treat diseases in humans and other animals; most of them and their secondary metabolites are discharged into the aquatic environment, posing a serious threat to human health.

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